Bring Chatbot Builder
to LangChain
Learn how to connect BotGenuity to LangChain and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the BotGenuity MCP Server?
Connect your BotGenuity account to any AI agent and take full control of your automated customer engagement and chatbot operations through natural conversation.
What you can do
- Bot Orchestration — List and manage all your AI chatbot instances programmatically, retrieving detailed configuration and high-fidelity operational status in real-time
- Lead Capture Intelligence — Access complete directories of leads captured during bot interactions, including high-fidelity contact metadata and conversation context
- Conversation Discovery — Retrieve detailed chat histories and individual message threads to maintain a perfectly coordinated overview of customer needs
- Real-Time Interaction — Programmatically send messages to your chatbots to test performance or integrate bot responses into custom business workflows
- Platform Monitoring — Access chatbot configuration details and monitor account-level connectivity directly through your agent for instant reporting
How it works
1. Subscribe to this server
2. Retrieve your API Key (Bearer Token) from your BotGenuity dashboard (Settings > Security)
3. Start managing your conversational AI pipeline from Claude, Cursor, or any MCP client
No more manual toggling between chatbot portals or digging through individual lead tables. Your AI acts as your dedicated bot engineer and lead coordinator.
Who is this for?
- Customer Support Teams — instantly retrieve chat histories and monitor bot performance using natural language commands
- Marketing Managers — track lead generation trends and verify bot engagement without leaving your workspace
- Product Teams — integrate custom-trained chatbot responses into internal tools through simple AI queries
Built-in capabilities (6)
Send a message to a chatbot and get a response
Get details of a specific chatbot
Get full history for a conversation
List leads captured by a chatbot
List conversations for a chatbot
List all chatbots in your BotGenuity account
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with BotGenuity through native MCP adapters. Connect 6 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
- —
The largest ecosystem of integrations, chains, and agents. combine BotGenuity MCP tools with 500+ LangChain components
- —
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
- —
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
- —
Memory and conversation persistence let agents maintain context across BotGenuity queries for multi-turn workflows
BotGenuity in LangChain
BotGenuity and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect BotGenuity to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for BotGenuity in LangChain
The BotGenuity MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 6 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
BotGenuity for LangChain
Every tool call from LangChain to the BotGenuity MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my BotGenuity API Key?
Log in to your account, select a chatbot, navigate to Settings > Security, and generate your API Bearer Token.
Can I test bot responses via AI?
Yes! The chat_with_bot tool allows you to interact with your chatbots and retrieve high-fidelity AI responses programmatically.
How do I retrieve captured leads?
Use the list_captured_leads tool with a specific chatbot ID to retrieve all contact information collected during user sessions.
How does LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters